Title | Construction of a ceRNA coregulatory network and screening of hub biomarkers for salt-sensitive hypertension |
Authors | Zhang, Ling Qi, Han Liu, Zheng Peng, Wen-Juan Cao, Han Guo, Chun-Yue Sun, Yan-Yan Pao, Christine Xiang, Yu-Tao |
Affiliation | Capital Med Univ, Beijing Municipal Key Lab Clin Epidemiol, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Beijing, Peoples R China Capital Med Univ, Beijing Anding Hosp, Sch Mental Hlth, Natl Clin Res Ctr Mental Disorders,Beijing Key La, Beijing, Peoples R China Capital Med Univ, Beijing Anding Hosp, Sch Mental Hlth, Adv Innovat Ctr Human Brain Protect, Beijing, Peoples R China Peking Univ, Sci Dept, Peoples Hosp, Beijing, Peoples R China Univ North Carolina Chapel Hill, Dept Psychiat, Chapel Hill, NC USA Univ Macau, Inst Translat Med, Fac Hlth Sci, Unit Psychiat, Macau, Peoples R China |
Keywords | COMPETING ENDOGENOUS RNA BLOOD-PRESSURE NONCODING RNA SODIUM SENSITIVITY MESSENGER-RNA EXPRESSION SUSCEPTIBILITY HERITABILITY POLYMORPHISM VARIABILITY |
Issue Date | May-2020 |
Publisher | JOURNAL OF CELLULAR AND MOLECULAR MEDICINE |
Abstract | Salt-sensitive hypertension (SSH) is an independent risk factor for cardiovascular disease. The regulation of long non-coding RNAs, mRNAs and competing endogenous RNAs (ceRNAs) in the pathogenesis of SSH is uncertain. An RNA microarray was performed to discover SSH-associated differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs), and 296 DElncRNAs and 44 DEmRNAs were identified, and 247 DElncRNAs and 44 DEmRNAs among these RNAs were included in the coexpression network. The coregulatory network included 23 ceRNA loops, and six hub RNAs (lnc-ILK-8:1, lnc-OTX1-7:1, lnc-RCAN1-6:1, GIMAP8, SUV420H1 and PIGV) were identified for further population validation. The ceRNA correlations among lnc-OTX1-7:1, hsa-miR-361-5p and GIMAP8 were confirmed in SSH and SRH patients. A larger-sample validation confirmed that GIMAP8, SUV420H1 and PIGV were differentially expressed between the SSH and SRH groups. In addition, SUV420H1 was included in the SSH screening model, and the area under the curve of the model was 0.720 (95% CI: 0.624-0.816). Our study explored the transcriptome profiles of SSH and constructed a ceRNA network to help elucidate the mechanism of SSH. In addition, SUV420H1 was identified as a hub element that participates in SSH transcriptional regulation and as a potential biomarker for the early diagnosis of SSH. |
URI | http://hdl.handle.net/20.500.11897/606864 |
ISSN | 1582-1838 |
DOI | 10.1111/jcmm.15285 |
Indexed | SCI(E) |
Appears in Collections: | 人民医院 |